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Limited feedback MIMO wireless communication system capacity simulation

Author: FuXiuZuo
Tutor: LiShaoQian
School: University of Electronic Science and Technology
Course: Communication and Information System
Keywords: Multi-input multi-output system Broadcast Channel Limited feedback Capacity loss Channel state information
CLC: TN914
Type: Master's thesis
Year: 2008
Downloads: 207
Quote: 1
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Abstract


Multiple-input multiple-output (MIMO) communication system through the transmitter channel state information (CSIT) for processing, so that the transmitted signal to adapt the current channel, to obtain much larger than the traditional single-input single-output (SISO) communication system capacity, but the transmitting end to perfectly obtain channel information in real communication systems is not possible, and the system will be the perfect CSIT receiver feedback to the transmitter also requires too much overhead, so only a small amount of feedback bits without performance loss of the larger Finite feedback technology has become a research hotspot in recent years. The capacity of the communication system is not only the upper bound of the channel throughput, but also of the entire system design, performance analysis, has an important effect, so the system capacity of great significance. Based on the amount of feedback bits for single-user and multi-user MIMO systems, the situation of limited capacity when the feedback has been studied to obtain the appropriate conclusions, and for many scenes MIMO system capacity (throughput) of the simulation, from the theoretical and both visual feedback bits reflects the amount of system capacity (throughput) of the close relationship between. First, the article describes the MIMO technology, CSIT impact on MIMO systems with limited feedback at home and abroad wireless MIMO communication system on research. Secondly, around the CSIT impact on MIMO system capacity, this paper introduces the dynamic CSIT model, the capacity of the model in the application of the calculation process, you can see: CSIT able to bring gain MIMO system capacity, and bring closer the perfect CSIT gain more. However, the perfect CSIT feedback in real communication system is unrealistic nor economical, feedback and be able to get a small bit close to perfect CSIT case gain limited feedback technology so it is very attractive. On this basis, this paper respectively, for single-user and multi-user MIMO MIMO system simulation of the system in case of limited feedback capacity (throughput) properties. Again, for a single-user MIMO system, this paper analyzed the different limited feedback and focus for the use of RVQ codebook vector quantization limited feedback MIMO system, using the existing methods of its capacity loss and feedback analysis of the relationship between the number of bits , has been the loss of value of its capacity limit, and to different methods under limited feedback ergodic capacity and the capacity loss of the relationship with the number of feedback bits simulated and compared. Finally, for multi-user MIMO systems, the paper used RVQ codebook vector quantization based on zero-forcing limited feedback multiuser MIMO system throughput analysis of the nature, get a different conclusion feedback mode throughput and subsequently extended to the use of arbitrary code The vector quantization based on zero-forcing limited feedback multiuser MIMO systems, and for different circumstances limited feedback multiuser MIMO system throughput simulation.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication systems ( transmission system)
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